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Shape Memory and Superelasticity
Erschienen in: Shape Memory and Superelasticity 4/2022

16.11.2022 | Technical Article

A Poromechanics-Based Phenomenological Model for Porous Shape Memory Alloys

verfasst von: Gulcan Ozerim, Ziad Moumni, Gunay Anlas

Erschienen in: Shape Memory and Superelasticity | Ausgabe 4/2022

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Abstract

Experimental studies show that shape memory alloys exhibit pressure-dependent deformation in the presence of porosity. In this context, a macro-scale phenomenological model is proposed for the mechanical behavior of porous SMAs using a poromechanics approach. The new phenomenological model considers the porous medium as a skeleton consisting of a solid matrix and connected porous space. The new model is built starting from a model for dense SMAs in which the porosity is included as an internal state variable. Both the pseudoelastic and plastic deformations of the skeleton are considered. The model is implemented into Abaqus through a user defined material subroutine and is validated using experimental results from the literature. The numerical results obtained by unit-cell (UC) technique are also used. The uni-axial stress–strain response is captured in a great extent with significant reduction in terms of the numerical cost when compared to the UC approach. It is shown that the proposed model can be used to study the mechanical behavior of porous SMAs. The poromechanics approach allows tracking the overall deformation of the RVE, and the porosity simultaneously.
Vorheriger Artikel Functional Fatigue of NiTi Shape Memory Alloy: Effect of Loading Frequency and Source of Residual Strains
Nächster Artikel Unequally and Non-linearly Weighted Averaging Operators as a General Homogenization Approach for Phase Field Modeling of Phase Transforming Materials
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Metadaten
Titel
A Poromechanics-Based Phenomenological Model for Porous Shape Memory Alloys
verfasst von
Gulcan Ozerim
Ziad Moumni
Gunay Anlas
Publikationsdatum
16.11.2022
Verlag
Springer US
Erschienen in
Shape Memory and Superelasticity / Ausgabe 4/2022
Print ISSN: 2199-384X
Elektronische ISSN: 2199-3858
DOI
https://doi.org/10.1007/s40830-022-00401-1

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